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README.md
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pipeline_tag: translation
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# mon_nllb_3B
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This model is a fine-tuned version of [facebook/nllb-200-distilled-1.3B](https://huggingface.co/facebook/nllb-200-distilled-1.3B) on an unknown dataset.
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It achieves the following results on the evaluation set:
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## Model description
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This model was finetuned on Mongolian->English parallel dataset with LoRA
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pipeline_tag: translation
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---
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# mon_nllb_3B
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This model is a fine-tuned version of [facebook/nllb-200-distilled-1.3B](https://huggingface.co/facebook/nllb-200-distilled-1.3B) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- BLEU: 44.06
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- chrF: 44.43
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- METEOR: 0.537
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## Example Usage
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```python
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from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
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model_name = "your_username/mon_nllb_3B"
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
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text = "Hello, how are you?"
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inputs = tokenizer(text, return_tensors="pt")
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output_tokens = model.generate(**inputs)
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translated_text = tokenizer.decode(output_tokens[0], skip_special_tokens=True)
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print(translated_text)
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```
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## Model description
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This model was finetuned on Mongolian->English parallel dataset with LoRA
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